Open to opportunities

Pau Pallares

@paupallares

Message

AI/Backend Engineer focused on production LLM systems, Azure-first cloud-scale reliability, and observable MLOps.

Spain

Message

What I'm looking for

I’m looking for a team where I can build Azure-first, production-grade LLM systems end to end—RAG/agents, scalable services, and rigorous evaluation—paired with strong observability, compliance, and automated MLOps for long-term reliability.

I’m an AI Engineer focused on designing, building, and deploying AI-native, cloud-scale systems—especially with Azure. For 10 years, I’ve delivered production-grade LLM solutions, from RAG pipelines and agentic workflows to GPT-based systems, with an emphasis on reliability, observability, compliance, and reuse.

I build end-to-end AI platforms and services that integrate across data, identity, telemetry, and cost layers. I’ve shipped scalable backend microservices (Python, FastAPI/Django), integrated LLM APIs into real workflows (OpenAI/Azure OpenAI, Claude, Gemini), and implemented vector search and semantic retrieval using technologies like pgvector and OpenSearch.

I’m hands-on with modern MLOps and evaluation practices—automated evaluation pipelines, bias & drift testing, and production monitoring using tools like Azure Monitor/Application Insights and Datadog—so AI systems keep performing after launch.

Experience

Work history, roles, and key accomplishments

AI/Backend Engineer

Revolut

Jul 2024 - Feb 2026 (1 year 7 months)

Developed scalable Python microservices with FastAPI and async patterns, improving reliability and data consistency across production systems. Built AI-enabled services integrating LLM APIs with pgvector-based semantic search, and implemented asynchronous processing with Celery/Redis for high-throughput workloads.

Python fastAPI AsyncIO Celery Redis PostgreSQL Pgvector Docker AWS

AI Engineer & Data Scientist

Kick ICT Group Ltd

Feb 2023 - Jul 2024 (1 year 5 months)

Delivered AWS-based LLM training, evaluation, and deployment platforms using Bedrock, SageMaker, and Databricks. Built enterprise RAG pipelines and agentic workflows with LangChain/LangGraph, and implemented data quality, bias, and drift evaluation with PySpark and AWS Bedrock.

AWS AI Bedrock Amazon SageMaker Databricks OpenSearch LangChain LangGraph Azure Functions Azure OpenAI Pyspark Terraform Lang Chain

Python & Backend Developer

Mr Jeff Reino Valencia

Aug 2016 - Feb 2023 (6 years 6 months)

Built and maintained backend AI-enabled services using Python, FastAPI, and Django, exposing capabilities via REST APIs. Automated SaaS integrations with n8n and Zapier, deployed inference services on Azure AKS, and implemented CI/CD and infrastructure automation with Azure DevOps and Terraform.